1 00:00:00,120 --> 00:00:02,600 Speaker 1: Make your business official with Google and square Space. When 2 00:00:02,640 --> 00:00:05,120 Speaker 1: you create a custom domain and a beautiful business website 3 00:00:05,120 --> 00:00:07,960 Speaker 1: with square Space, you receive a free year of business 4 00:00:07,960 --> 00:00:11,000 Speaker 1: email and professional tools from Google. It's the simplest way 5 00:00:11,039 --> 00:00:14,720 Speaker 1: to look professional online. The squares space dot com slash Google. 6 00:00:15,000 --> 00:00:17,680 Speaker 1: To start your free trial, use the offer code work 7 00:00:18,079 --> 00:00:21,000 Speaker 1: for an additional ten percent off your first purchase. Google 8 00:00:21,000 --> 00:00:25,720 Speaker 1: and square Space. Make it professional, Make it beautiful. Welcome 9 00:00:25,760 --> 00:00:35,320 Speaker 1: to Stuff you Should Know from House Stuff Works dot com. Hey, 10 00:00:35,360 --> 00:00:38,120 Speaker 1: and welcome to the podcast. I'm Josh Clark with Charles W. 11 00:00:38,240 --> 00:00:41,320 Speaker 1: Chuck Bryant, and Jerry uh. And this is Stuff you 12 00:00:41,360 --> 00:00:45,199 Speaker 1: should Know the podcast. There are one, two, three of us. No, 13 00:00:45,400 --> 00:00:49,920 Speaker 1: you just take a census. H You like that? Uh? Yeah, 14 00:00:50,159 --> 00:00:53,080 Speaker 1: I thought this is much more interesting than I thought 15 00:00:53,120 --> 00:00:57,360 Speaker 1: it would be. It wouldn't take much. I would guess 16 00:00:57,400 --> 00:01:01,120 Speaker 1: most people's expectations of the census is that it's awfully boring. 17 00:01:01,280 --> 00:01:04,080 Speaker 1: It's not at all. I don't know about the at 18 00:01:04,120 --> 00:01:07,240 Speaker 1: all part, but yes, there are plenty of interesting factors 19 00:01:07,280 --> 00:01:09,880 Speaker 1: to it that keep it from being awfully boring. Yeah, 20 00:01:09,920 --> 00:01:12,479 Speaker 1: I mean, I'm not saying it's Uh, it doesn't get 21 00:01:12,480 --> 00:01:15,880 Speaker 1: you jazzed. It's not exciting, but it's interesting to me, 22 00:01:15,920 --> 00:01:20,920 Speaker 1: and I'm sure it's exciting to some people people in demography. Yeah, 23 00:01:21,400 --> 00:01:26,360 Speaker 1: statistical walks, stat walks, right as we call them stocks. 24 00:01:27,040 --> 00:01:33,440 Speaker 1: Oh man, just keep going. Uh yeah, there are plenty 25 00:01:33,440 --> 00:01:36,039 Speaker 1: of people who find the sensus amazingly interesting. And that's 26 00:01:36,040 --> 00:01:38,680 Speaker 1: who this is for. That's right. We've got twenty twenty 27 00:01:38,760 --> 00:01:41,200 Speaker 1: coming up, by the way, which just the name of 28 00:01:41,240 --> 00:01:46,000 Speaker 1: it makes it an exciting census. Yeah. So, um, and 29 00:01:46,040 --> 00:01:48,840 Speaker 1: I should say we're talking about the American census. There's 30 00:01:48,880 --> 00:01:53,280 Speaker 1: sensuces everywhere. Um. Yeah, It's not like every country does 31 00:01:53,280 --> 00:01:55,920 Speaker 1: the census all, you know, on a set schedule, but 32 00:01:56,000 --> 00:01:59,840 Speaker 1: it's pretty common actually, especially in westernized developed countries, that 33 00:02:00,080 --> 00:02:03,280 Speaker 1: a census every ten years, where you literally go out 34 00:02:03,440 --> 00:02:07,960 Speaker 1: and one form or another count every single person living 35 00:02:08,000 --> 00:02:10,160 Speaker 1: in your country. Yeah. I got a couple of facts 36 00:02:10,160 --> 00:02:12,720 Speaker 1: about other countries, but this is largely about the U. 37 00:02:12,800 --> 00:02:16,200 Speaker 1: S census, you know, and in the US we do 38 00:02:16,280 --> 00:02:20,400 Speaker 1: our census every ten years on years ending in zero. 39 00:02:20,800 --> 00:02:23,160 Speaker 1: That's right. I was like, I wonder if everybody does 40 00:02:23,160 --> 00:02:25,680 Speaker 1: it like that, And again it's kind of hit or 41 00:02:25,680 --> 00:02:27,359 Speaker 1: miss with other countries. But I saw in the UK. 42 00:02:27,520 --> 00:02:31,519 Speaker 1: They do it every ten years and years ending in one. Really, 43 00:02:31,760 --> 00:02:35,959 Speaker 1: I was like, that's so foreign. Maybe they want to 44 00:02:36,000 --> 00:02:40,000 Speaker 1: see what mistakes we make. Actually, probably not, because, as 45 00:02:40,000 --> 00:02:44,560 Speaker 1: we'll see, the census starts cranking up a full year 46 00:02:44,639 --> 00:02:49,200 Speaker 1: before they even start taking names. Yeah. And actually something 47 00:02:49,280 --> 00:02:52,600 Speaker 1: else that surprised me about the UK US census comparison. 48 00:02:53,040 --> 00:02:56,519 Speaker 1: We started long before they did. Our modern census started 49 00:02:56,560 --> 00:03:00,680 Speaker 1: before the UK's modern census by several decades. I wonder 50 00:03:00,720 --> 00:03:02,919 Speaker 1: if they were just like, you know, oh, it's a 51 00:03:02,960 --> 00:03:05,880 Speaker 1: bloody good idea. Well, I wonder if they just weren't concerned. 52 00:03:05,919 --> 00:03:08,040 Speaker 1: They just looked around and said, there's there's lots of 53 00:03:08,120 --> 00:03:11,840 Speaker 1: us and that was good enough enough to rule the world, 54 00:03:13,840 --> 00:03:15,560 Speaker 1: all right, So every ten years, like you said, it's 55 00:03:15,600 --> 00:03:18,840 Speaker 1: the Commerce Department, Uh, the Census Bureau here in the US. 56 00:03:19,200 --> 00:03:21,160 Speaker 1: Here in the US. Oh boy, we're gonna say that 57 00:03:21,160 --> 00:03:24,799 Speaker 1: every time. Um, it is in the U s Constitution 58 00:03:24,840 --> 00:03:27,400 Speaker 1: goes all the way back to seventeen nine, back when 59 00:03:27,400 --> 00:03:31,160 Speaker 1: they were less than four million people, um, four million. 60 00:03:31,760 --> 00:03:34,880 Speaker 1: You know, back then they didn't count uh slaves, they 61 00:03:34,880 --> 00:03:39,640 Speaker 1: didn't count Native Americans. Uh. I think they did count 62 00:03:39,680 --> 00:03:42,080 Speaker 1: slaves in the first one no, no, no no, I'm saying 63 00:03:42,080 --> 00:03:46,160 Speaker 1: the four million people. Oh I was not counting those people. 64 00:03:46,560 --> 00:03:50,680 Speaker 1: Are you sure? That's what it says, but they I'm 65 00:03:50,680 --> 00:03:53,960 Speaker 1: not saying they didn't count them in the census. Um. 66 00:03:54,000 --> 00:03:56,040 Speaker 1: It's sadly what that probably means is that they were 67 00:03:56,080 --> 00:04:00,120 Speaker 1: not considered people. So there's a whole federalist paper about this. 68 00:04:00,600 --> 00:04:05,440 Speaker 1: There's something very famously called the three fifths Compromise. Remember that, 69 00:04:05,760 --> 00:04:08,360 Speaker 1: where um, the Southern states were like, hey, you gotta 70 00:04:08,440 --> 00:04:11,520 Speaker 1: count the slaves, and the Northern states were like, you 71 00:04:11,560 --> 00:04:14,640 Speaker 1: guys treat slaves like property, So no, we're not going 72 00:04:14,720 --> 00:04:17,000 Speaker 1: to count them in the census. And there was this 73 00:04:17,360 --> 00:04:21,640 Speaker 1: deal struck called the three fifths Compromise where um, slaves 74 00:04:21,640 --> 00:04:26,760 Speaker 1: would be counted as three fifths of a person, right, um. 75 00:04:26,800 --> 00:04:29,240 Speaker 1: And the whole reason was that the Southern states didn't 76 00:04:29,279 --> 00:04:32,479 Speaker 1: want to be overwhelmed by the larger, more populated Northern 77 00:04:32,520 --> 00:04:36,440 Speaker 1: states that weren't big on slavery. Because ultimately, as far 78 00:04:36,480 --> 00:04:39,200 Speaker 1: as it goes in the United States, when you are 79 00:04:39,320 --> 00:04:42,359 Speaker 1: conducting the census, you're trying to figure out how many 80 00:04:42,400 --> 00:04:46,480 Speaker 1: representative seats in the House of Representatives each state gets, 81 00:04:46,520 --> 00:04:49,920 Speaker 1: and it's done by population. Yeah, and as you'll see, 82 00:04:49,960 --> 00:04:52,440 Speaker 1: there are many, many, many, many many other things that 83 00:04:52,480 --> 00:04:57,520 Speaker 1: the census helps with these days. But the original two things, uh, 84 00:04:57,720 --> 00:04:59,920 Speaker 1: that the census was supposed to do was to see 85 00:05:00,160 --> 00:05:04,640 Speaker 1: was fit for the military and available, and to count 86 00:05:04,960 --> 00:05:07,719 Speaker 1: people to see how many representatives you got. Those are 87 00:05:07,760 --> 00:05:10,719 Speaker 1: the two biggies, right. Well, let's talk about the the 88 00:05:10,760 --> 00:05:14,200 Speaker 1: first census. First of all, there were censuses in the Bible, 89 00:05:14,480 --> 00:05:19,200 Speaker 1: because census is right, I think, yes, since I know no, 90 00:05:19,360 --> 00:05:26,760 Speaker 1: that's a that's a karate instructor. Uh. There were censuses 91 00:05:26,800 --> 00:05:29,560 Speaker 1: in the Bible all over the Bible. Um. I remember 92 00:05:29,560 --> 00:05:31,200 Speaker 1: reading about them when I was a little kid. Yeah, 93 00:05:31,200 --> 00:05:33,599 Speaker 1: you knew all about sentences things, but um I did. 94 00:05:33,839 --> 00:05:36,640 Speaker 1: The first there's a little debate on the very first 95 00:05:37,200 --> 00:05:40,800 Speaker 1: census is in the North American continent. On the North 96 00:05:40,839 --> 00:05:45,640 Speaker 1: American Continent fifteen seventy six. Some claim Spanish King Philip 97 00:05:45,760 --> 00:05:50,720 Speaker 1: the two the two the sequel just made that up. 98 00:05:51,440 --> 00:05:58,080 Speaker 1: Spanish King Philip to Electric Boogaloo, Uh, that he wanted 99 00:05:58,120 --> 00:06:02,200 Speaker 1: information about the colonies, and I think sent American Native 100 00:06:02,240 --> 00:06:06,360 Speaker 1: American Indians through what is Mexico now with questions, right, 101 00:06:06,400 --> 00:06:09,440 Speaker 1: he hadn't thought it through very well though he sent 102 00:06:09,560 --> 00:06:14,200 Speaker 1: them with these questionnaires in Spanish, I imagine, but the 103 00:06:14,240 --> 00:06:18,360 Speaker 1: American Indians that he sent down there didn't speak Spanish. 104 00:06:18,560 --> 00:06:22,320 Speaker 1: That they apparently were not ones to quit or give 105 00:06:22,400 --> 00:06:25,560 Speaker 1: up whenever they faced a hardship because they just created 106 00:06:25,560 --> 00:06:30,000 Speaker 1: their own system of hieroglyphics to depict what goods each 107 00:06:30,080 --> 00:06:34,320 Speaker 1: town um produced that would be taxed by the King 108 00:06:34,360 --> 00:06:38,240 Speaker 1: of Spain. It is awesome. They even drew maps, their 109 00:06:38,240 --> 00:06:42,240 Speaker 1: own maps to point out where each town was. They 110 00:06:42,279 --> 00:06:45,840 Speaker 1: had no training whatsoever in cartography, and they didn't speak Spanish, 111 00:06:46,000 --> 00:06:48,520 Speaker 1: and yet they managed to come up with this apparently 112 00:06:48,600 --> 00:06:52,840 Speaker 1: beautifully illustrated census that they delivered to King Philip the second. 113 00:06:53,200 --> 00:06:55,880 Speaker 1: That's uh in uh in the Texas State Archives, I 114 00:06:55,960 --> 00:07:00,000 Speaker 1: believe today. Yeah, and I have to say this um 115 00:07:00,000 --> 00:07:03,239 Speaker 1: our article sites an article from the Prescott Evening Courier 116 00:07:03,440 --> 00:07:06,960 Speaker 1: newspaper and it's from nineteen fifty. This article is and 117 00:07:07,000 --> 00:07:09,520 Speaker 1: it's pretty interesting, but if you scroll down on the 118 00:07:09,560 --> 00:07:14,400 Speaker 1: same page, there's another little article. The headline is agencies 119 00:07:14,440 --> 00:07:20,160 Speaker 1: asked to rid offices of sex perverts from nineteen I 120 00:07:20,200 --> 00:07:23,400 Speaker 1: wonder what apparently there's a there's a sex pervert Purge 121 00:07:23,560 --> 00:07:26,120 Speaker 1: in nineteen I wonder what you have to do in 122 00:07:26,200 --> 00:07:28,480 Speaker 1: nineteen fifty to be considered a sex pervert. I read 123 00:07:28,480 --> 00:07:31,400 Speaker 1: and it just said proof of sex perversion. So who 124 00:07:31,440 --> 00:07:37,000 Speaker 1: knows being gay, um, being a peeping tom or anything, 125 00:07:37,080 --> 00:07:42,040 Speaker 1: but sexually assaulting a woman. I'm sure you're a sex pervert. Um. 126 00:07:42,360 --> 00:07:47,240 Speaker 1: That's pretty funny. I mean not funny, but you know, interesting. Yes, 127 00:07:48,480 --> 00:07:51,640 Speaker 1: other people say the first North American census was in Canada, 128 00:07:51,920 --> 00:07:55,920 Speaker 1: back then New France, by Jean ten uh for the 129 00:07:55,960 --> 00:07:59,080 Speaker 1: King of France, and Toolon actually went around to all 130 00:07:59,080 --> 00:08:02,920 Speaker 1: the houses over the winner of sixty sixty six counted 131 00:08:02,960 --> 00:08:09,320 Speaker 1: all fifteen people of European descent. Uh. And then others say, no, 132 00:08:11,800 --> 00:08:14,559 Speaker 1: we're gonna officially say the US census was the first 133 00:08:14,600 --> 00:08:19,600 Speaker 1: real census. The real first one was in Mexico. The 134 00:08:19,640 --> 00:08:22,239 Speaker 1: second first one was in Canada, but the real first 135 00:08:22,240 --> 00:08:25,560 Speaker 1: one took place in the United States. Uh. Hundreds of 136 00:08:25,640 --> 00:08:30,000 Speaker 1: years later, seventeen ninety George Washington signed it into law, 137 00:08:30,840 --> 00:08:34,559 Speaker 1: and in the Constitution is actually just um quote enumeration 138 00:08:34,640 --> 00:08:38,160 Speaker 1: of inhabitants end quote. But um as as you'll see 139 00:08:38,200 --> 00:08:40,480 Speaker 1: as we go on, there are many many more questions 140 00:08:40,480 --> 00:08:43,320 Speaker 1: and things we can glean now, yeah, well than just 141 00:08:43,360 --> 00:08:45,800 Speaker 1: the number of people. And now they're starting to get 142 00:08:45,880 --> 00:08:49,679 Speaker 1: a little more back to basics. In the two thousand census, 143 00:08:49,760 --> 00:08:52,160 Speaker 1: there was a long form one that had like fifty 144 00:08:52,160 --> 00:08:54,640 Speaker 1: two questions forget it. Yeah. Most people are like, I'm 145 00:08:54,679 --> 00:08:56,480 Speaker 1: not answering this. I think that was probably why they 146 00:08:56,520 --> 00:08:58,360 Speaker 1: changed it. Yeah. In two thousand and ten they came 147 00:08:58,400 --> 00:09:00,720 Speaker 1: up with a short form one that was sent to 148 00:09:00,760 --> 00:09:03,840 Speaker 1: everybody and it was ten questions. Yeah, and as we'll see, 149 00:09:04,080 --> 00:09:06,160 Speaker 1: literally three of those questions where how many people are 150 00:09:06,200 --> 00:09:09,680 Speaker 1: in your house? The first three questions different ways, Yeah, 151 00:09:09,760 --> 00:09:13,320 Speaker 1: because they're like, this is really the one um. I 152 00:09:13,360 --> 00:09:16,240 Speaker 1: thought that was kind of funny. Uh. Six d and 153 00:09:16,280 --> 00:09:19,120 Speaker 1: fifty U s. Marshals went in nineteen I'm sorry seventeen 154 00:09:19,200 --> 00:09:23,080 Speaker 1: ninety for that first census, got on their horses unannounced 155 00:09:23,080 --> 00:09:25,880 Speaker 1: and went house to house all over the nation with 156 00:09:25,920 --> 00:09:30,360 Speaker 1: their quill pens, scraps of paper literally counting heads um 157 00:09:30,520 --> 00:09:33,800 Speaker 1: cost about forty five grand. The two thousand and ten 158 00:09:33,920 --> 00:09:38,520 Speaker 1: Since this this surprised me that it shouldn't have thirteen 159 00:09:38,840 --> 00:09:45,160 Speaker 1: billion dollars and I thought, no, that's million, but it's billion. Yeah, 160 00:09:45,200 --> 00:09:48,680 Speaker 1: And it was actually that was less than they expected 161 00:09:48,720 --> 00:09:50,559 Speaker 1: it would call. They came in under budget by one 162 00:09:50,559 --> 00:09:53,440 Speaker 1: point six billion, which is pretty good. I hope whoever 163 00:09:53,720 --> 00:09:57,240 Speaker 1: was responsible for that made a name for themselves and 164 00:09:57,320 --> 00:10:00,800 Speaker 1: a big fat bonus. Oh yeah, I'm sure in the 165 00:10:00,880 --> 00:10:05,400 Speaker 1: form of like a h fifty dollar gift bond right 166 00:10:05,600 --> 00:10:09,480 Speaker 1: from the U. S. Treasury along bond. By the way, Chuck, 167 00:10:09,520 --> 00:10:12,400 Speaker 1: I was like, okay, well, forty five dollars in seventeen ninety. 168 00:10:12,520 --> 00:10:16,760 Speaker 1: Obviously it was probably equal to thirteen billion. Nope, not 169 00:10:16,880 --> 00:10:20,760 Speaker 1: even close. So West Egg inflation calculator doesn't go far 170 00:10:20,960 --> 00:10:22,880 Speaker 1: enough back to sev ninety, but it does go to 171 00:10:22,960 --> 00:10:27,160 Speaker 1: eighteen hundred, So in eighteen hundred dollars that forty five 172 00:10:27,200 --> 00:10:33,319 Speaker 1: thousand would be sixty five hundred today. So they were efficient. Yeah, 173 00:10:33,400 --> 00:10:35,400 Speaker 1: the scraps of paper and yeah, and the horses in 174 00:10:35,480 --> 00:10:38,000 Speaker 1: quill pen And says, that's some hard tack chewing tobacky. 175 00:10:38,960 --> 00:10:43,400 Speaker 1: Maybe a pot of beans, maybe as you're starting to 176 00:10:43,400 --> 00:10:47,200 Speaker 1: get a little extravagant. Uh. That first census um were 177 00:10:47,240 --> 00:10:52,000 Speaker 1: the original thirteen states plus districts of Maine, Vermont, Kentucky, 178 00:10:52,040 --> 00:10:55,320 Speaker 1: in Tennessee, which was the Southwest Territory at the time. 179 00:10:55,600 --> 00:11:00,800 Speaker 1: It's kind of funny Southwest Tennessee. Yeah. Uh. And these 180 00:11:00,840 --> 00:11:04,200 Speaker 1: were imagine in order the things that you had to 181 00:11:04,960 --> 00:11:08,240 Speaker 1: name on that census, the name of the head of 182 00:11:08,240 --> 00:11:13,000 Speaker 1: the household, number of free white males over sixteen, number 183 00:11:13,080 --> 00:11:17,000 Speaker 1: of free white males under sixteen, number of free white females, 184 00:11:17,720 --> 00:11:20,640 Speaker 1: number of other free persons, and then the number of slaves, 185 00:11:21,040 --> 00:11:24,559 Speaker 1: and then the number of sex perverts. Right, that was 186 00:11:24,600 --> 00:11:26,720 Speaker 1: the very first one. We'll take a little break and 187 00:11:26,760 --> 00:11:28,680 Speaker 1: come back and speed all the way up to eighteen 188 00:11:28,679 --> 00:11:55,120 Speaker 1: eighty right after this, mank alright, it's eighteen eighty. Yeah, 189 00:11:55,440 --> 00:11:57,400 Speaker 1: didn't that We're back to the future. Three was set? 190 00:11:58,040 --> 00:12:01,000 Speaker 1: M M was it? It was somewhere in there We're 191 00:12:01,040 --> 00:12:05,480 Speaker 1: living in Deadwood? Did you watch that? I started too, 192 00:12:05,480 --> 00:12:08,360 Speaker 1: and I was like, I don't have time for this man. Oh. 193 00:12:08,440 --> 00:12:12,840 Speaker 1: Shout out to the great Tim Omenson. He's an actor 194 00:12:12,880 --> 00:12:15,439 Speaker 1: on Deadwood and he's the stuff he should know listener. 195 00:12:15,880 --> 00:12:18,400 Speaker 1: Oh yeah, yeah, I met him at Podfast Nice. He's 196 00:12:18,440 --> 00:12:23,520 Speaker 1: on JV Club uh with me, and he's great. He's 197 00:12:23,559 --> 00:12:26,840 Speaker 1: like a real listener. And shout out to Kevin Pollock. Yeah, 198 00:12:26,840 --> 00:12:29,160 Speaker 1: who's another stuffy should know listener. We met at pod Fast. 199 00:12:29,240 --> 00:12:31,760 Speaker 1: He bum rushed our stage during the middle of our podcast, 200 00:12:32,080 --> 00:12:35,439 Speaker 1: which was very surprising. Yeah, that'll eventually be out right. 201 00:12:35,520 --> 00:12:40,840 Speaker 1: That's right. It's weird, is it? Kevin Pollock just surreal. 202 00:12:40,960 --> 00:12:42,760 Speaker 1: He was very sweet after. He was like, man, I 203 00:12:42,800 --> 00:12:45,440 Speaker 1: really am a fan guys like enough to come and 204 00:12:45,480 --> 00:12:49,320 Speaker 1: watch you. And he brought along Wayne Fetterman, a great 205 00:12:49,320 --> 00:12:52,880 Speaker 1: writer and comic who also as a listener. I didn't 206 00:12:52,880 --> 00:12:54,840 Speaker 1: get to meet him. Yeah, I talked to him afterward 207 00:12:54,880 --> 00:12:58,360 Speaker 1: about the Beatles and uh, obviously he had met our 208 00:12:58,400 --> 00:13:01,240 Speaker 1: shows coming out on Monty Python and he had met 209 00:13:01,360 --> 00:13:05,600 Speaker 1: Eric Idle the day before our podcast. Wow is that crazy? Yeah, 210 00:13:05,720 --> 00:13:10,280 Speaker 1: the universe was circling him. He was the drain. That's right. 211 00:13:10,640 --> 00:13:14,960 Speaker 1: So Kevin Pollock and his fiancee, Hello, Wayne Fetterman, Howdy, 212 00:13:15,640 --> 00:13:19,559 Speaker 1: Tim Omenson, good day, so nice and Tim, by the way, 213 00:13:19,640 --> 00:13:22,520 Speaker 1: is on that show Gallivant, which is no longer around 214 00:13:22,520 --> 00:13:25,439 Speaker 1: but you can catch on Netflix. This is great. Um 215 00:13:25,679 --> 00:13:29,520 Speaker 1: medieval musical show that, like the network was actually brave 216 00:13:29,600 --> 00:13:32,520 Speaker 1: enough to make really cool. It was cop Rock but 217 00:13:32,640 --> 00:13:36,320 Speaker 1: said in Medieval Times. Yeah, but good well cop Rock 218 00:13:36,440 --> 00:13:39,040 Speaker 1: wasn't good. I didn't see it. I didn't either I 219 00:13:39,400 --> 00:13:41,000 Speaker 1: was under the impression that was the same thing that 220 00:13:41,040 --> 00:13:44,920 Speaker 1: it was, like, Um, this is a musical cop procedural. 221 00:13:45,840 --> 00:13:48,480 Speaker 1: What is this doing on television? Get off? It had 222 00:13:48,520 --> 00:13:49,920 Speaker 1: nothing to do with whether it was good or not. 223 00:13:50,000 --> 00:13:53,120 Speaker 1: It was just two weird you know. Anyway, thanks to 224 00:13:53,160 --> 00:13:56,439 Speaker 1: those people and all the non celebrities who came. Sure, 225 00:13:56,520 --> 00:13:58,280 Speaker 1: everybody who came. Yeah, we don't want to just you 226 00:13:58,520 --> 00:13:59,840 Speaker 1: have to have a big name for us to be 227 00:13:59,880 --> 00:14:03,439 Speaker 1: a appreciative that you came and saw our stinky, stupid episode. 228 00:14:03,520 --> 00:14:06,000 Speaker 1: Of course not all right, So I picked up in 229 00:14:06,080 --> 00:14:09,040 Speaker 1: eighteen eighty Deadwood is what sidetracked me. And that's when 230 00:14:09,679 --> 00:14:13,240 Speaker 1: they actually started using trained workers to work in the census, right, 231 00:14:13,320 --> 00:14:16,800 Speaker 1: not just phoedo marshals with their pots of beans. Uh. 232 00:14:16,800 --> 00:14:18,760 Speaker 1: And then about ten years later they actually had the 233 00:14:18,800 --> 00:14:23,680 Speaker 1: first machine to help them count their information, which was 234 00:14:24,000 --> 00:14:28,440 Speaker 1: primitive but useful. Dude. It was a computer. Yeah, the U. S. 235 00:14:28,480 --> 00:14:33,360 Speaker 1: Census Bureau has this unsung history of basically being the 236 00:14:33,360 --> 00:14:37,360 Speaker 1: first to use computers. Right, Yes, So they had this 237 00:14:37,440 --> 00:14:40,320 Speaker 1: machine that they built. I didn't see a name for it, 238 00:14:40,320 --> 00:14:43,200 Speaker 1: but basically it was a tabulating machine. So starting in 239 00:14:43,240 --> 00:14:47,840 Speaker 1: the eighteen nineties, Census, the census takers, who again, like 240 00:14:47,880 --> 00:14:50,800 Speaker 1: you said, we're now trained individuals. They were trained to 241 00:14:50,840 --> 00:14:54,360 Speaker 1: punch a hole into the response, right, how many people 242 00:14:54,720 --> 00:14:57,200 Speaker 1: under the age of sixteen in this house? Four? They 243 00:14:57,280 --> 00:15:00,640 Speaker 1: punch a hole wherever the four was right hanging Chad's 244 00:15:00,920 --> 00:15:03,200 Speaker 1: pretty much. That's why you wanted to make sure the 245 00:15:03,200 --> 00:15:05,040 Speaker 1: hole punched all the way through, so you wouldn't have 246 00:15:05,080 --> 00:15:10,040 Speaker 1: a hanging chats. Um. And when they turned in these cards, 247 00:15:10,720 --> 00:15:14,320 Speaker 1: they could feed them into this tabulator that would make 248 00:15:14,440 --> 00:15:17,840 Speaker 1: note of which hole was punched and in store this information. 249 00:15:18,280 --> 00:15:21,000 Speaker 1: It was a computer that the Census Bureau was using. 250 00:15:22,080 --> 00:15:24,800 Speaker 1: It was a steampunk computer pretty much. Yeah. It was 251 00:15:24,840 --> 00:15:30,200 Speaker 1: operated by Will Smith. Um was that wild Wild West? Boy? 252 00:15:30,720 --> 00:15:33,160 Speaker 1: What a stinker? Did you see the TV show that 253 00:15:33,200 --> 00:15:35,440 Speaker 1: it was based on the back in the day? That 254 00:15:35,680 --> 00:15:40,280 Speaker 1: was great? Yeah, what an imaginative TV show that was. Um. 255 00:15:40,360 --> 00:15:44,160 Speaker 1: So they'd used the real computers. Um. Starting in nineteen fifty, 256 00:15:44,360 --> 00:15:47,800 Speaker 1: the Census Bureau ordered one called the Univac. It's one 257 00:15:47,800 --> 00:15:50,440 Speaker 1: of those things that's huge and takes up a room 258 00:15:50,640 --> 00:15:55,360 Speaker 1: as mini machines working as one like the Whopper. Uh. 259 00:15:55,400 --> 00:15:58,200 Speaker 1: And then in two thousand and ten they finally introduced 260 00:15:58,720 --> 00:16:03,920 Speaker 1: GPS devices, and I was kind of didn't really understand 261 00:16:03,920 --> 00:16:07,840 Speaker 1: why until I read the next three sentences. I stopped 262 00:16:07,840 --> 00:16:10,480 Speaker 1: for a second. That's a weird thing to say. But 263 00:16:10,840 --> 00:16:14,000 Speaker 1: there were mistakes up to five of people counted when 264 00:16:14,320 --> 00:16:16,920 Speaker 1: SENSUS takers were doing this all by hand with paper 265 00:16:16,960 --> 00:16:20,360 Speaker 1: maps would assign people five percent of people to the 266 00:16:20,400 --> 00:16:25,880 Speaker 1: wrong congressional district accidentally. Did I say purpose way? Okay, Yeah, 267 00:16:25,880 --> 00:16:27,640 Speaker 1: I just wanted to make sure that they were cleared 268 00:16:27,640 --> 00:16:30,680 Speaker 1: of any wrongdoings, right, It was all a mistake. Uh. 269 00:16:30,720 --> 00:16:35,600 Speaker 1: And now with these GPS coordinating devices, they have a 270 00:16:35,640 --> 00:16:39,800 Speaker 1: point zero five error rate, which is a lot better 271 00:16:39,840 --> 00:16:44,479 Speaker 1: than five point zero very much. Um. Yeah, so jerrymandering 272 00:16:44,520 --> 00:16:47,160 Speaker 1: will be that much more difficult. We hope we need 273 00:16:47,200 --> 00:16:50,760 Speaker 1: to do an episode, and we should also say, since 274 00:16:50,760 --> 00:16:53,880 Speaker 1: we're talking about our episodes, if if you love this stuff, 275 00:16:54,240 --> 00:16:57,120 Speaker 1: go listen to our population episode where we talked a 276 00:16:57,120 --> 00:17:00,800 Speaker 1: lot about SENSUS taking. Uh and our maps episode will 277 00:17:00,800 --> 00:17:05,000 Speaker 1: really get your engine revving for real if you're a 278 00:17:05,000 --> 00:17:11,080 Speaker 1: g I S geek right or a stock right or so. 279 00:17:11,240 --> 00:17:16,399 Speaker 1: The Bureau works with the National Processing Center, uh, and 280 00:17:16,480 --> 00:17:18,919 Speaker 1: they have you know, it's not just like let me 281 00:17:18,960 --> 00:17:21,119 Speaker 1: take this form and look at it and write it down. 282 00:17:21,240 --> 00:17:25,880 Speaker 1: Like it's very automated these days, and um, pretty advanced. 283 00:17:26,040 --> 00:17:30,080 Speaker 1: What they do to ensure its accuracy, well at at 284 00:17:30,160 --> 00:17:33,919 Speaker 1: very least thorough Yeah, Like they take a picture of 285 00:17:33,960 --> 00:17:37,200 Speaker 1: every single finished questionnaire. Yeah, so there's an image file 286 00:17:37,200 --> 00:17:39,280 Speaker 1: of every single one. Okay, I'd say that, Well, that's 287 00:17:39,320 --> 00:17:43,080 Speaker 1: not advanced, but that's inch and toward advanced there, like 288 00:17:43,119 --> 00:17:48,400 Speaker 1: hold stale please uh and then uh they have um 289 00:17:48,560 --> 00:17:54,439 Speaker 1: a Scantron computer. Basically it's like that computer, but a 290 00:17:54,440 --> 00:17:57,040 Speaker 1: little more advanced. But it does the same thing optical 291 00:17:57,080 --> 00:18:01,439 Speaker 1: mark recognition. So like you fill in the bubble boom, 292 00:18:01,520 --> 00:18:04,440 Speaker 1: this computers on top of it a little more advanced. Yeah, 293 00:18:04,480 --> 00:18:07,200 Speaker 1: but it's the same principle. Yeah, but then it gets 294 00:18:07,200 --> 00:18:13,320 Speaker 1: super advanced I c R. Yeah, intelligent character recognition. And 295 00:18:14,800 --> 00:18:18,360 Speaker 1: isn't that just I mean that's something that reads people's handwriting, right. 296 00:18:18,440 --> 00:18:22,120 Speaker 1: And remember we did our another episode, the USPS one 297 00:18:22,200 --> 00:18:25,320 Speaker 1: on the post Office. It was a great episode, especially 298 00:18:25,320 --> 00:18:27,560 Speaker 1: those of you who here are stamps dot com ads 299 00:18:27,560 --> 00:18:30,000 Speaker 1: and think we hate the post Office. Go listen to 300 00:18:30,040 --> 00:18:35,040 Speaker 1: our USPS episode, which is basically an homage to the 301 00:18:35,080 --> 00:18:40,120 Speaker 1: Post Office by stamps dot com, so um that they 302 00:18:40,240 --> 00:18:42,760 Speaker 1: use the same thing for mail. Right, they have computers 303 00:18:42,760 --> 00:18:45,359 Speaker 1: that can read people's hand writing, and then there's a 304 00:18:45,760 --> 00:18:48,719 Speaker 1: there's a secondary process to where with the computers like 305 00:18:49,080 --> 00:18:51,440 Speaker 1: I don't know what this is, there's a human that 306 00:18:51,720 --> 00:18:54,400 Speaker 1: gets a little like a picture of it and they 307 00:18:54,440 --> 00:18:57,520 Speaker 1: type in what it is, and then they have a 308 00:18:57,560 --> 00:19:00,639 Speaker 1: q A department to finish it all out. Yeah, it's uh, 309 00:19:00,680 --> 00:19:03,600 Speaker 1: I think they do like a dent of any kind 310 00:19:03,640 --> 00:19:08,200 Speaker 1: of um of any kind of human data stuff they 311 00:19:08,200 --> 00:19:11,760 Speaker 1: go back and double check. That's right. Until nineteen sixty, 312 00:19:11,840 --> 00:19:13,600 Speaker 1: the census was pretty much a door to door affair. 313 00:19:13,760 --> 00:19:16,600 Speaker 1: This is so dumb and that what that? It was? 314 00:19:16,640 --> 00:19:20,200 Speaker 1: Door to door. Yes, there's too many people by this time. Yeah, 315 00:19:21,000 --> 00:19:25,760 Speaker 1: I agree. Yeah, we're talking tens hundreds of millions of people. Yeah. 316 00:19:25,800 --> 00:19:27,720 Speaker 1: But then they decided, all right, here's what we should do. 317 00:19:27,800 --> 00:19:31,000 Speaker 1: Let's mail these out to people, have them fill it out, 318 00:19:31,240 --> 00:19:33,800 Speaker 1: send it back, and we will just have to count 319 00:19:33,840 --> 00:19:37,560 Speaker 1: to uh the chucks of the world who do not 320 00:19:37,680 --> 00:19:39,680 Speaker 1: fill it out and send it back. Oh yeah, you 321 00:19:39,720 --> 00:19:42,760 Speaker 1: don't fill it out. Huh. I didn't fill it out, Um, 322 00:19:42,800 --> 00:19:45,840 Speaker 1: not on purpose. It just got away from me. You know, Chuck, 323 00:19:45,880 --> 00:19:50,800 Speaker 1: you just confess to a federal crime. I know, right, seriously, Yeah, 324 00:19:50,840 --> 00:19:53,800 Speaker 1: it's technically against the law. Hundred and eighty million people 325 00:19:53,840 --> 00:19:57,199 Speaker 1: in nineteen sixty Oh yeah, yeah, that is crazy to 326 00:19:57,280 --> 00:20:00,320 Speaker 1: count them all. Yeah, I did not feel it out. 327 00:20:01,320 --> 00:20:04,760 Speaker 1: I think you should. Now, well I'm going I'm a will. No, 328 00:20:04,920 --> 00:20:07,679 Speaker 1: you have to do it for two to know. They 329 00:20:07,760 --> 00:20:10,280 Speaker 1: found me. They came to my home. Oh okay, I 330 00:20:10,280 --> 00:20:11,680 Speaker 1: got you. Yeah, I just didn't fill it out and 331 00:20:11,680 --> 00:20:14,399 Speaker 1: send it in. Um, you didn't chase him oy with 332 00:20:14,400 --> 00:20:17,800 Speaker 1: a crossbow. Shall we talk about that? No? No, I'm 333 00:20:17,800 --> 00:20:21,280 Speaker 1: getting ahead of us. Um boy, that's a good tease though. 334 00:20:21,640 --> 00:20:24,680 Speaker 1: If people like Tod just just say crossbow. We did 335 00:20:24,680 --> 00:20:27,400 Speaker 1: an episode on crossbows too. Yeah. That one wasn't very good. 336 00:20:27,720 --> 00:20:32,119 Speaker 1: Oh yeah, yeah that was fine, just thin. Yeah, it 337 00:20:32,200 --> 00:20:34,119 Speaker 1: was a long time ago, though. They were thinner than 338 00:20:34,359 --> 00:20:38,720 Speaker 1: it was better than Jackhammers. Oh gosh, we should have 339 00:20:38,760 --> 00:20:40,719 Speaker 1: an episode where you just talk about all our stinkers. 340 00:20:40,800 --> 00:20:44,960 Speaker 1: That's pretty much every episode. So um se In the 341 00:20:45,000 --> 00:20:49,520 Speaker 1: two thousand and ten census returned those census forms so 342 00:20:49,760 --> 00:20:53,840 Speaker 1: not bad, and the remaining U twenty six of people 343 00:20:54,280 --> 00:20:56,959 Speaker 1: had to be counted by the one point four million 344 00:20:57,000 --> 00:21:01,640 Speaker 1: workers that are broken down into war categories. Right, there 345 00:21:01,720 --> 00:21:04,560 Speaker 1: was like of that one point four million, like almost 346 00:21:04,600 --> 00:21:06,800 Speaker 1: six hundred thousand of them. Where the people who actually 347 00:21:06,840 --> 00:21:13,120 Speaker 1: went out onto the streets and said, hey, you didn't 348 00:21:13,160 --> 00:21:16,600 Speaker 1: send in your form. What's your problem? Don't you love America? 349 00:21:16,840 --> 00:21:23,640 Speaker 1: You're called enumerators. Yeah. They're also administrators who basically manage 350 00:21:23,680 --> 00:21:28,400 Speaker 1: the divisions, uh Statticians, they check their math. And the 351 00:21:28,440 --> 00:21:32,160 Speaker 1: demographers like you were talking about, who totally walk out 352 00:21:32,880 --> 00:21:34,959 Speaker 1: on all those numbers. Yeah, they're the ones who take 353 00:21:35,000 --> 00:21:38,960 Speaker 1: these numbers because think about it, we're talking about ten questions, 354 00:21:40,080 --> 00:21:42,200 Speaker 1: the first three of which are how many people live 355 00:21:42,240 --> 00:21:46,159 Speaker 1: in your house? Right? Um? And these guys can basically 356 00:21:46,560 --> 00:21:52,920 Speaker 1: sus um some pretty interesting information from just information like that. 357 00:21:53,520 --> 00:21:57,000 Speaker 1: They can they can predict the future, they can call 358 00:21:57,080 --> 00:22:00,119 Speaker 1: the lotto numbers, they can do all sorts. If you 359 00:22:00,320 --> 00:22:02,280 Speaker 1: have a neighbor that's a demographer, you want to make 360 00:22:02,280 --> 00:22:05,919 Speaker 1: friends with them because they can make you very wealthy. Josh, 361 00:22:05,920 --> 00:22:07,920 Speaker 1: why would you take part in a census? Why is 362 00:22:07,960 --> 00:22:11,119 Speaker 1: it a big deal? Well, again, first of all, to 363 00:22:11,320 --> 00:22:13,960 Speaker 1: not take part of breaking the law, Chuck. But aside 364 00:22:13,960 --> 00:22:17,840 Speaker 1: from that, umure there's actually a lot that's done with 365 00:22:17,920 --> 00:22:23,240 Speaker 1: the census. So, yes, it's figuring out who, uh, which 366 00:22:23,280 --> 00:22:27,560 Speaker 1: states get how many seats in the House of Representatives. Um. 367 00:22:27,600 --> 00:22:32,440 Speaker 1: It's also figuring out where people live, their double checking 368 00:22:32,520 --> 00:22:35,480 Speaker 1: that their addresses on file. They have a national database 369 00:22:35,480 --> 00:22:38,880 Speaker 1: of all the addresses in the United States, every single address, 370 00:22:38,920 --> 00:22:41,680 Speaker 1: and they're going back and double checking all of them 371 00:22:41,720 --> 00:22:45,600 Speaker 1: as part of the census. But ultimately they're figuring out 372 00:22:46,160 --> 00:22:49,879 Speaker 1: what to do with about four hundred billion dollars in 373 00:22:50,480 --> 00:22:54,080 Speaker 1: state aid, state and local aid that the federal government 374 00:22:54,160 --> 00:22:59,800 Speaker 1: distributes every year. Yeah, so every every census equals a 375 00:23:00,040 --> 00:23:04,280 Speaker 1: out four trillion dollars worth of aid UM and how 376 00:23:04,320 --> 00:23:07,040 Speaker 1: it's going to be allocated. That's what the census figures 377 00:23:07,040 --> 00:23:10,159 Speaker 1: are used for in part. Yeah. So if you're like, well, 378 00:23:10,160 --> 00:23:13,080 Speaker 1: I don't want to take that stupid thing, but I 379 00:23:13,240 --> 00:23:15,560 Speaker 1: like my roads to be service and I like to 380 00:23:15,640 --> 00:23:18,719 Speaker 1: have that fire station nearby, and I want to make 381 00:23:18,720 --> 00:23:21,240 Speaker 1: sure there's a good school that can house all the 382 00:23:21,280 --> 00:23:23,439 Speaker 1: students that live here. And I want there to be 383 00:23:23,480 --> 00:23:26,160 Speaker 1: a senior center for mom and dad. Yeah, and boy 384 00:23:26,160 --> 00:23:28,280 Speaker 1: would be nice if there was a public library kind 385 00:23:28,280 --> 00:23:30,159 Speaker 1: of closer to me, right, and it would kill you 386 00:23:30,240 --> 00:23:36,600 Speaker 1: to put in the hearties. Kind of true though, because 387 00:23:37,000 --> 00:23:40,720 Speaker 1: private the private sector uses census numbers to determine where 388 00:23:40,760 --> 00:23:45,919 Speaker 1: to open the hearties. But just hearties, yeah, no, but 389 00:23:45,960 --> 00:23:48,480 Speaker 1: maybe where to open up a factory plant or something. 390 00:23:49,040 --> 00:23:52,119 Speaker 1: I mean, there are many, many, many things that the 391 00:23:52,200 --> 00:23:55,400 Speaker 1: census will satisfy that will help you out to make 392 00:23:55,440 --> 00:23:58,360 Speaker 1: sure that you have everything around you that you need 393 00:23:58,440 --> 00:24:01,879 Speaker 1: to for a healthy community. Right. Plus that, Um, those 394 00:24:01,920 --> 00:24:06,880 Speaker 1: maps again are really important because usually nine eleven emergency 395 00:24:06,920 --> 00:24:14,720 Speaker 1: services use census maps to to basically move around the area. Uh. 396 00:24:14,760 --> 00:24:19,119 Speaker 1: And if you're worried about your privacy, Um, it is 397 00:24:20,359 --> 00:24:23,680 Speaker 1: held private for seventy two years this information. Yeah, and 398 00:24:23,720 --> 00:24:26,159 Speaker 1: a lot of people are like whatever, sensus takers are 399 00:24:26,200 --> 00:24:32,399 Speaker 1: blabb or mouths. Actually, they are sworn to protect your privacy. 400 00:24:32,440 --> 00:24:35,479 Speaker 1: That's part of their job, no matter what. Like this 401 00:24:35,560 --> 00:24:41,080 Speaker 1: is anonymous, right Um. And secondly, well I shouldn't say 402 00:24:41,080 --> 00:24:44,200 Speaker 1: it's anonymous. It's sealed. This information is sealed. It's between 403 00:24:44,200 --> 00:24:48,920 Speaker 1: you and the census taker. Um. And then uh, secondly, 404 00:24:48,920 --> 00:24:52,320 Speaker 1: they face a really stiff penalty if they do share 405 00:24:52,359 --> 00:24:55,960 Speaker 1: your information with anybody, whether it's um, they're best friend 406 00:24:56,200 --> 00:24:59,720 Speaker 1: they're l O l ng about your stupid answers um 407 00:24:59,840 --> 00:25:03,639 Speaker 1: or with like say, any sort of welfare services or 408 00:25:03,760 --> 00:25:07,080 Speaker 1: law enforcement. I believe they're not allowed to share any information. 409 00:25:07,240 --> 00:25:10,359 Speaker 1: The cops can't can't use the census to track people down. 410 00:25:10,760 --> 00:25:14,600 Speaker 1: The military can't use it, uh what, the I R 411 00:25:14,760 --> 00:25:18,400 Speaker 1: s can't use it, Immigration can't use it. So it's 412 00:25:18,400 --> 00:25:20,520 Speaker 1: a five year of prison penalty and two d and 413 00:25:20,560 --> 00:25:23,320 Speaker 1: fifty grand, So it's pretty serious business. Yeah, if they 414 00:25:23,359 --> 00:25:27,879 Speaker 1: break that that um Yeah, and they figure seventy two years. 415 00:25:27,920 --> 00:25:30,320 Speaker 1: It seemed like a weird number to me, but it 416 00:25:30,440 --> 00:25:32,240 Speaker 1: is a weird number. I guess they were like, you know, 417 00:25:32,280 --> 00:25:34,000 Speaker 1: if you get counted in a census and by the 418 00:25:34,040 --> 00:25:36,240 Speaker 1: time seventy two years later rolled around, it might be 419 00:25:36,280 --> 00:25:38,560 Speaker 1: dead or you don't care. It probably has some sort 420 00:25:38,600 --> 00:25:45,320 Speaker 1: of freemasonic numerological uh substance to it. You know. Yeah, 421 00:25:45,440 --> 00:25:48,200 Speaker 1: I can see that. But what's neat about it? Though, Chuck? 422 00:25:48,240 --> 00:25:51,760 Speaker 1: If you ever need to prove your age or where 423 00:25:51,800 --> 00:25:54,600 Speaker 1: you lived or anything like that, you can write the 424 00:25:54,640 --> 00:25:56,480 Speaker 1: census be and be like, I know this is under 425 00:25:56,480 --> 00:25:59,640 Speaker 1: wraps for seventy two years, but I need proof that 426 00:25:59,800 --> 00:26:03,360 Speaker 1: I I'm saying I am who I am, Please provide 427 00:26:03,400 --> 00:26:06,040 Speaker 1: me with a sheet. And since this bureau provides a 428 00:26:06,119 --> 00:26:08,439 Speaker 1: letter on your behalf saying this person lived at this 429 00:26:08,480 --> 00:26:15,480 Speaker 1: place at this time, our guys counted him. Pretty cool. Yeah, 430 00:26:15,560 --> 00:26:18,120 Speaker 1: should we take a break, let's chuck, all right, we'll 431 00:26:18,160 --> 00:26:19,960 Speaker 1: come back and we'll talk a little bit about how 432 00:26:20,000 --> 00:26:43,280 Speaker 1: this whole thing actually works. Chuck, I want to go 433 00:26:43,320 --> 00:26:45,920 Speaker 1: on record also saying when I say guys, I'm using 434 00:26:45,920 --> 00:26:49,520 Speaker 1: it in a completely gender neutral sense. Yeah, we say 435 00:26:49,560 --> 00:26:52,159 Speaker 1: guys a lot. Some people don't like that, I know, 436 00:26:53,560 --> 00:26:57,280 Speaker 1: I mean a gender neutral e I know. But the 437 00:26:57,320 --> 00:26:59,480 Speaker 1: same people who don't like that also don't like the 438 00:26:59,480 --> 00:27:03,560 Speaker 1: fact that you're using it general neutraally, you know. Hm hmm, 439 00:27:04,720 --> 00:27:08,960 Speaker 1: I see what you mean. But uh, let's get back 440 00:27:09,000 --> 00:27:12,840 Speaker 1: to censusing UM in two thousand and ten, Like I 441 00:27:12,880 --> 00:27:16,639 Speaker 1: said earlier, they started hiring people. The work begins on 442 00:27:16,680 --> 00:27:18,960 Speaker 1: the census a couple of years beforehand, right, that's the 443 00:27:18,960 --> 00:27:21,520 Speaker 1: easiest way to say it. Start recruiting people to work 444 00:27:22,359 --> 00:27:29,120 Speaker 1: UM about January of the census year is when they 445 00:27:29,160 --> 00:27:34,359 Speaker 1: start actually counting people in Alaska. Yeah, that's where the 446 00:27:34,400 --> 00:27:39,040 Speaker 1: sense of starts for a while. Since Yeah, and it 447 00:27:39,080 --> 00:27:43,199 Speaker 1: makes sense why oh, because the about the time that 448 00:27:43,240 --> 00:27:48,040 Speaker 1: the census really gets started, the rural Alaska experiences the 449 00:27:48,080 --> 00:27:52,240 Speaker 1: spring thaw or the breakup, and travel becomes very tough 450 00:27:52,840 --> 00:27:56,000 Speaker 1: and everybody leaves home to go do other stuff because 451 00:27:56,000 --> 00:27:59,760 Speaker 1: they've been cooped up in their their house. The whole pointer. Yeah, 452 00:27:59,760 --> 00:28:02,280 Speaker 1: I U it was, I mean, it was a very 453 00:28:02,280 --> 00:28:04,280 Speaker 1: sensible reason. I thought it was just some like cool 454 00:28:04,280 --> 00:28:08,280 Speaker 1: old tradition. It's pretty new, actually, yeah, exactly. So they 455 00:28:08,280 --> 00:28:10,439 Speaker 1: start in Alaska, they actually count people there. Then in 456 00:28:10,800 --> 00:28:14,000 Speaker 1: that's just sort of a let's get Alaska taken care of, right, 457 00:28:14,080 --> 00:28:16,640 Speaker 1: and then we can move on to other things. So 458 00:28:16,960 --> 00:28:22,119 Speaker 1: in February they send forms in advance to rural areas 459 00:28:22,320 --> 00:28:26,240 Speaker 1: where these forms have to be delivered by hand. Then 460 00:28:26,240 --> 00:28:29,960 Speaker 1: in March you're gonna the other folks receiver letter saying 461 00:28:30,560 --> 00:28:36,600 Speaker 1: since this is coming, get excited pretty much. Yeah, and 462 00:28:36,640 --> 00:28:38,520 Speaker 1: they just have to sit around and wait for the 463 00:28:38,560 --> 00:28:41,200 Speaker 1: census letter to come after that. Yeah. But what you 464 00:28:41,280 --> 00:28:44,000 Speaker 1: do is with that up that since this has coming letter, 465 00:28:44,520 --> 00:28:46,520 Speaker 1: it gives you the option of how you want what 466 00:28:46,600 --> 00:28:53,000 Speaker 1: language you want to get your senses in, which is Spanish, Chinese, Korean, Vietnamese, 467 00:28:53,680 --> 00:28:58,960 Speaker 1: and Russian or a Spanish English edition English. Yeah, and 468 00:28:59,000 --> 00:29:03,600 Speaker 1: then in mid March the actual forms are mailed. There's 469 00:29:03,640 --> 00:29:07,200 Speaker 1: a hundred and twenty million residences in the US. Yeah. 470 00:29:07,240 --> 00:29:09,120 Speaker 1: And you know, one thing that really stood out to 471 00:29:09,200 --> 00:29:12,160 Speaker 1: me when I was reading this, as we'll get into 472 00:29:12,160 --> 00:29:16,000 Speaker 1: this stuff here in a second, is how many different 473 00:29:17,320 --> 00:29:22,920 Speaker 1: ways there are too live in the United States. Yeah. Yeah, 474 00:29:23,120 --> 00:29:28,280 Speaker 1: there's a um there's a thing called the residents Rule 475 00:29:29,360 --> 00:29:31,880 Speaker 1: that the Census Bureau had to come to terms with, 476 00:29:32,040 --> 00:29:35,640 Speaker 1: and apparently every census they have like a public hearing 477 00:29:35,720 --> 00:29:38,040 Speaker 1: on the residents rule and if it needs to change 478 00:29:38,160 --> 00:29:42,080 Speaker 1: or include other stuff. But it basically says where you 479 00:29:42,160 --> 00:29:45,600 Speaker 1: spend most of your time sleeping, where you sleep the 480 00:29:45,640 --> 00:29:49,600 Speaker 1: most is considered your residence as far as the census goes. 481 00:29:50,320 --> 00:29:53,680 Speaker 1: Even if you have another permanent residence. If you are 482 00:29:53,880 --> 00:29:57,720 Speaker 1: sleeping under an overpass, that overpass counts as your residence 483 00:29:57,920 --> 00:30:01,920 Speaker 1: during the census. Yeah, and I just thought, like, yeah, 484 00:30:01,960 --> 00:30:04,400 Speaker 1: you go to the houses, go the apartments in the condos, 485 00:30:06,320 --> 00:30:11,800 Speaker 1: and like what else is there overpasses? I mean there's dormitories. 486 00:30:12,600 --> 00:30:16,800 Speaker 1: Dormitories like where college students live. Yeah, yeah, they get counted. There. 487 00:30:16,840 --> 00:30:19,800 Speaker 1: There are homes for senior living. It's just a living homes. Yes, 488 00:30:20,280 --> 00:30:24,160 Speaker 1: there are prisons, Yeah, they get counted there, there are. 489 00:30:24,960 --> 00:30:27,640 Speaker 1: You might live in a boat at a marina, counted there. 490 00:30:27,760 --> 00:30:33,200 Speaker 1: You might live on an aircraft carrier counted there. Um. 491 00:30:33,280 --> 00:30:36,480 Speaker 1: What else, shelters, trailer parks yeah so um. One of 492 00:30:36,480 --> 00:30:38,360 Speaker 1: the things that the Census Bureau has gotten kind of 493 00:30:38,360 --> 00:30:42,440 Speaker 1: good at is making contact with local social service agencies, 494 00:30:42,720 --> 00:30:47,080 Speaker 1: local nonprofit organizations and saying, where do your um, like 495 00:30:47,120 --> 00:30:53,080 Speaker 1: transient populations like say, migrant workers, UM, undocumented immigrants, homeless people, 496 00:30:53,440 --> 00:30:56,760 Speaker 1: where do they live? Um? Can you take us to 497 00:30:56,800 --> 00:30:59,840 Speaker 1: them so we can count them? Because again, they're trying 498 00:30:59,880 --> 00:31:03,560 Speaker 1: to count every single person who lives in the United States, 499 00:31:03,720 --> 00:31:08,240 Speaker 1: whether they are here legally or illegally, UM, whether they 500 00:31:08,280 --> 00:31:10,840 Speaker 1: live in a car or whether they live in a mansion. 501 00:31:11,000 --> 00:31:13,800 Speaker 1: They're trying to count every single person. And some of 502 00:31:13,840 --> 00:31:16,200 Speaker 1: it's super easy. Again, they send a hundred and twenty 503 00:31:16,200 --> 00:31:21,680 Speaker 1: million UM census forms out to the residences. That's the 504 00:31:21,720 --> 00:31:25,400 Speaker 1: easy part. The hard part is going and finding people 505 00:31:25,400 --> 00:31:28,800 Speaker 1: who have these non traditional residences, hotels, people who live 506 00:31:28,840 --> 00:31:32,200 Speaker 1: in in weekly hotels. They've got to count them. And 507 00:31:32,240 --> 00:31:35,640 Speaker 1: one of the confounding factors of the whole thing, Chuck is, 508 00:31:35,720 --> 00:31:39,680 Speaker 1: Let's say you're your your son is away in college 509 00:31:39,840 --> 00:31:43,720 Speaker 1: or prison, right, You're probably gonna be tempted to say, well, 510 00:31:43,720 --> 00:31:45,800 Speaker 1: he's gonna be back eventually. This is his home, this 511 00:31:45,880 --> 00:31:49,520 Speaker 1: is permanent address. The Census Bureau constantly has to fight 512 00:31:49,560 --> 00:31:51,479 Speaker 1: with that and be like no, no, no, like like, 513 00:31:51,640 --> 00:31:54,400 Speaker 1: don't count them. They live in prison or they live 514 00:31:54,440 --> 00:32:02,320 Speaker 1: in college, which could be college or prison. You know. Uh, 515 00:32:02,520 --> 00:32:04,840 Speaker 1: A lot of people that fill out these forms don't 516 00:32:04,880 --> 00:32:08,640 Speaker 1: speak English like enough to fill out the form, and 517 00:32:08,640 --> 00:32:11,840 Speaker 1: they may not even know to ask for the bilingual form. 518 00:32:11,880 --> 00:32:15,720 Speaker 1: So they actually have um online guides and fifty nine languages, 519 00:32:16,320 --> 00:32:20,680 Speaker 1: telephone assistants in six languages, and thirty three thousand in 520 00:32:20,760 --> 00:32:25,920 Speaker 1: person assistant centers across the US that are staffed, and 521 00:32:26,040 --> 00:32:29,600 Speaker 1: I think very wisely, the Census Bureau realized that a 522 00:32:29,640 --> 00:32:33,920 Speaker 1: lot of those households where the heads of household don't 523 00:32:34,600 --> 00:32:37,800 Speaker 1: speak or write or read English very well may have 524 00:32:37,960 --> 00:32:41,440 Speaker 1: kids who do speak English and read and write English 525 00:32:41,600 --> 00:32:44,360 Speaker 1: very well and could actually help their parents with this. 526 00:32:44,800 --> 00:32:48,200 Speaker 1: So they started in two thousand ten especially a big 527 00:32:48,280 --> 00:32:52,400 Speaker 1: push to the schools to to get kids like jazzed 528 00:32:52,400 --> 00:32:56,080 Speaker 1: about the census and basically teach them how to talk 529 00:32:56,120 --> 00:32:58,080 Speaker 1: to their parents about it and how to fill out 530 00:32:58,120 --> 00:32:59,800 Speaker 1: these forms with their parents. Yeah, they send them a 531 00:32:59,840 --> 00:33:03,680 Speaker 1: litt kit, a little fun kit, complete with like, you know, coloring, 532 00:33:03,880 --> 00:33:09,720 Speaker 1: color these kind of Uh. So back to the year. 533 00:33:10,080 --> 00:33:12,840 Speaker 1: How the year shakes out? Uh. Completed forms are due 534 00:33:12,880 --> 00:33:16,800 Speaker 1: by April one of the year, and May through July, 535 00:33:17,600 --> 00:33:21,520 Speaker 1: they are coming the streets looking for those people who 536 00:33:21,520 --> 00:33:24,240 Speaker 1: didn't fell out the forms and looking for the people, 537 00:33:24,360 --> 00:33:28,640 Speaker 1: like you said, in all these non traditional homes. I 538 00:33:28,640 --> 00:33:31,560 Speaker 1: guess we'll call them um or if they don't have homes, 539 00:33:31,560 --> 00:33:35,640 Speaker 1: just non traditional places where people dwell. Uh. And then 540 00:33:36,200 --> 00:33:39,280 Speaker 1: July through December they are analyzing all that data, and 541 00:33:39,320 --> 00:33:42,640 Speaker 1: by December thirty one they are required by law to 542 00:33:42,760 --> 00:33:49,080 Speaker 1: report the new um apportionment numbers to the President for 543 00:33:49,440 --> 00:33:52,120 Speaker 1: the congressional seats. And then they have till April the 544 00:33:52,160 --> 00:33:55,400 Speaker 1: following year for all the data collection to be sussed out. 545 00:33:56,400 --> 00:34:00,200 Speaker 1: So it's a long you know, it's a year's long process. Us. 546 00:34:00,680 --> 00:34:03,520 Speaker 1: What is that and two and a half or three 547 00:34:03,600 --> 00:34:07,680 Speaker 1: years to complete a census. Yeah, that's just the actual census. 548 00:34:07,720 --> 00:34:12,000 Speaker 1: Then there's also the work of I guess with every census, 549 00:34:12,040 --> 00:34:17,120 Speaker 1: you're also putting the last census that was seventy two 550 00:34:17,200 --> 00:34:21,319 Speaker 1: years old up on the internet now or it used 551 00:34:21,320 --> 00:34:23,480 Speaker 1: to be on microfilm, now it's up on the internet. 552 00:34:23,560 --> 00:34:27,160 Speaker 1: So the Census Bureau is always always working. Yeah. We 553 00:34:27,239 --> 00:34:31,239 Speaker 1: forgot one group of people that really cracked me up. Carney's. Yeah, 554 00:34:31,280 --> 00:34:34,240 Speaker 1: they mentioned Carney's in here. You gotta count them. Yeah, 555 00:34:35,080 --> 00:34:39,640 Speaker 1: traveling got to catch up with him first. Yeah, imagine 556 00:34:39,640 --> 00:34:44,279 Speaker 1: Carney's probably aren't since its friendly. You never know. I'm 557 00:34:44,280 --> 00:34:48,839 Speaker 1: sure it depends on the Carney. Can't pigeonhold them? You're right, 558 00:34:48,960 --> 00:34:52,640 Speaker 1: even if you're a pigeon. It's a long standing motto here, 559 00:34:52,800 --> 00:34:57,319 Speaker 1: don't pigeonhold the Carney. That's a t shirt. So, um, 560 00:34:57,400 --> 00:34:59,480 Speaker 1: on the actual form, like you said, it's gotten a 561 00:34:59,480 --> 00:35:01,680 Speaker 1: lot shorter of these days. And we kind of joked 562 00:35:02,120 --> 00:35:04,080 Speaker 1: a few times about the fact that the first three 563 00:35:04,160 --> 00:35:07,880 Speaker 1: questions are who's living there? But um, here's how it 564 00:35:07,920 --> 00:35:10,560 Speaker 1: breaks down is how many people live in the household? 565 00:35:11,160 --> 00:35:15,560 Speaker 1: Question number two, were there any additional people staying here 566 00:35:15,760 --> 00:35:18,480 Speaker 1: on April one that you did not include in question one? 567 00:35:19,160 --> 00:35:22,719 Speaker 1: And finally, question number three says just name everyone in 568 00:35:22,760 --> 00:35:27,680 Speaker 1: the household. They really want to make sure they get 569 00:35:27,719 --> 00:35:30,560 Speaker 1: that correct. You're also gonna have to fill out things 570 00:35:30,600 --> 00:35:34,879 Speaker 1: about your your gender, your age, your race, what kind 571 00:35:34,920 --> 00:35:38,160 Speaker 1: of Hispanic origin, perhaps your relationship to the head of 572 00:35:38,160 --> 00:35:44,000 Speaker 1: the household. The actually Alaskan Native tribes are not very 573 00:35:44,000 --> 00:35:47,640 Speaker 1: happy right now because apparently in the census they will 574 00:35:47,680 --> 00:35:51,640 Speaker 1: be asked, um, are you a member of an Alaskan 575 00:35:51,719 --> 00:35:54,919 Speaker 1: Native tribe? If so, what tribe? And they're like, well, 576 00:35:54,960 --> 00:35:57,680 Speaker 1: what business of this is yours? You know, they're not 577 00:35:57,800 --> 00:35:59,840 Speaker 1: very happy about this whole thing, And it's that was 578 00:36:00,000 --> 00:36:02,719 Speaker 1: the newest thing I heard about the census is going 579 00:36:02,760 --> 00:36:04,880 Speaker 1: on right now. Well, you gotta roll with the times. 580 00:36:05,080 --> 00:36:07,359 Speaker 1: Um in two thousand they started allowing more than one 581 00:36:07,440 --> 00:36:10,400 Speaker 1: race to be selected, and that got me thinking about 582 00:36:10,440 --> 00:36:13,200 Speaker 1: gender identity and if the US was gonna do anything 583 00:36:13,239 --> 00:36:16,680 Speaker 1: like that in like sixty years. Probably I haven't seen 584 00:36:16,719 --> 00:36:19,279 Speaker 1: anything for this next one, but I did see that 585 00:36:19,360 --> 00:36:22,680 Speaker 1: Australia and the United States, I'm sorry, Australia and UH 586 00:36:23,520 --> 00:36:29,760 Speaker 1: and the UK have both planned to include gender identity 587 00:36:29,760 --> 00:36:34,239 Speaker 1: options in the next census, so but ahead of the 588 00:36:34,239 --> 00:36:38,680 Speaker 1: curve from the US, no surprise. UH. In Australia actually is. 589 00:36:39,680 --> 00:36:43,960 Speaker 1: People are mad there this year because apparently previous to 590 00:36:44,040 --> 00:36:46,719 Speaker 1: this UM they're they're doing their census right now. I 591 00:36:46,719 --> 00:36:52,600 Speaker 1: think in and prior to this one, you didn't have 592 00:36:52,719 --> 00:36:57,279 Speaker 1: all the connecting information was optional, identifying information, like you 593 00:36:57,320 --> 00:36:59,880 Speaker 1: didn't have to put things like I guess it's just 594 00:37:00,040 --> 00:37:03,120 Speaker 1: different than the US, like uh, your address and stuff 595 00:37:03,120 --> 00:37:04,640 Speaker 1: like that. You didn't have to connect. I think they 596 00:37:04,640 --> 00:37:08,319 Speaker 1: were literally discounting people. And before Christmas last year they 597 00:37:08,840 --> 00:37:12,880 Speaker 1: sent out a press release saying that it's no longer optional. 598 00:37:13,520 --> 00:37:16,440 Speaker 1: All this information identifying information is gonna be collected and 599 00:37:16,480 --> 00:37:21,160 Speaker 1: stored in perpetuity, including things like your name, where you live, 600 00:37:21,239 --> 00:37:23,560 Speaker 1: how much money you make, and stuff like that, and 601 00:37:23,600 --> 00:37:26,040 Speaker 1: a lot of people got really ticked off, and they 602 00:37:26,080 --> 00:37:28,920 Speaker 1: said that's leading to or they predicted it would lead 603 00:37:28,920 --> 00:37:31,080 Speaker 1: to a lot of people just lying and giving a 604 00:37:31,120 --> 00:37:33,360 Speaker 1: bunch of garbage data and that's supposed to be on 605 00:37:33,400 --> 00:37:36,520 Speaker 1: the census. Yeah. I thought they were starting to move 606 00:37:36,600 --> 00:37:40,319 Speaker 1: more towards the model of UM, including questions like that 607 00:37:40,400 --> 00:37:45,560 Speaker 1: on that American Community survey. Well this is Australia, so gotcha. Yeah. Sorry, 608 00:37:46,040 --> 00:37:48,480 Speaker 1: I think the way I read it was that previous 609 00:37:48,520 --> 00:37:51,359 Speaker 1: to this year, it was just kind of counting heads. Yeah, 610 00:37:51,400 --> 00:37:54,239 Speaker 1: that's that's very invasive. Yeah, you could optionally fill that 611 00:37:54,239 --> 00:37:56,040 Speaker 1: stuff in, but now they're they're saying you have to, 612 00:37:56,280 --> 00:38:00,680 Speaker 1: you have to. So who knows. And then we kind 613 00:38:00,680 --> 00:38:05,720 Speaker 1: of teased earlier about people about a crossbow. Yeah, there's 614 00:38:05,760 --> 00:38:11,279 Speaker 1: a competing theories on what kind of job census taker is. Right. 615 00:38:12,000 --> 00:38:16,240 Speaker 1: Some people say it's a great job. It's very flexible. Um, 616 00:38:16,280 --> 00:38:19,520 Speaker 1: it pays in some places, like twelve dollars plus an 617 00:38:19,520 --> 00:38:22,279 Speaker 1: hour you get to right off the mileage you put 618 00:38:22,320 --> 00:38:26,040 Speaker 1: on your car. Great job out on the street's fresh air. 619 00:38:26,920 --> 00:38:30,359 Speaker 1: Other people say it's an extremely dangerous job and one 620 00:38:30,400 --> 00:38:33,560 Speaker 1: that the Census Bureau tends to downplay despite the fact 621 00:38:33,560 --> 00:38:40,080 Speaker 1: that they're like hundreds of incidents of um census takers 622 00:38:40,160 --> 00:38:44,920 Speaker 1: being threatened or attacked, uh, just doing their job. Senseless 623 00:38:44,960 --> 00:38:50,000 Speaker 1: sensus violence. Right. Yeah, And the crossboat guy in particular 624 00:38:50,000 --> 00:38:51,920 Speaker 1: is a guy in Marion, Ohio who had like a 625 00:38:52,000 --> 00:38:55,440 Speaker 1: no trespassing sign posted on his property and a picture 626 00:38:55,440 --> 00:38:58,839 Speaker 1: of a crossbow. Right. If you're a census taker, that's 627 00:38:58,880 --> 00:39:01,200 Speaker 1: meaning that the legal that doesn't have anything to do 628 00:39:01,239 --> 00:39:05,640 Speaker 1: with you. You're basically a deputized federal agent carrying out 629 00:39:05,680 --> 00:39:09,120 Speaker 1: your your business, and you are allowed to walk up 630 00:39:09,120 --> 00:39:12,560 Speaker 1: on somebody's property even if they have no trespassing signs posted. Well, 631 00:39:13,000 --> 00:39:17,200 Speaker 1: the guy in Marion, Ohio, UM said, Hey, I would 632 00:39:17,239 --> 00:39:19,759 Speaker 1: like you guys to leave, by the way. I have 633 00:39:19,800 --> 00:39:23,560 Speaker 1: a machine gun here. And uh. They started to leave, 634 00:39:23,680 --> 00:39:25,719 Speaker 1: and he wanted, I guess to make sure that they 635 00:39:25,800 --> 00:39:29,080 Speaker 1: did leave, so he escorted them down his driveway holding 636 00:39:29,080 --> 00:39:32,520 Speaker 1: his crossbow, not necessarily in any kind of threatening manner 637 00:39:32,680 --> 00:39:35,680 Speaker 1: holding it, but just holding it. And apparently no charges 638 00:39:35,719 --> 00:39:38,439 Speaker 1: were pressed against the guy. I guess he did everything right, 639 00:39:38,880 --> 00:39:41,040 Speaker 1: but there's apparently I was reading this article in the 640 00:39:41,040 --> 00:39:43,080 Speaker 1: Seattle Times. I wonder if they were just like, we'll 641 00:39:43,160 --> 00:39:47,120 Speaker 1: just put you down for one right, He's like, don't 642 00:39:47,200 --> 00:39:49,960 Speaker 1: do that, because that guarantee that guy lives alone. Um, 643 00:39:50,600 --> 00:39:54,280 Speaker 1: this this article from two ten in the Seattle Times. 644 00:39:54,280 --> 00:39:57,000 Speaker 1: Since his workers didn't count on such an angry reception. 645 00:39:57,360 --> 00:39:59,759 Speaker 1: And I'm sure this makes it sound way worse than 646 00:40:00,520 --> 00:40:03,799 Speaker 1: it is. Well, they said most people were great, but um, 647 00:40:03,840 --> 00:40:07,000 Speaker 1: but this is a collection of all the worst horror stories, 648 00:40:07,000 --> 00:40:09,759 Speaker 1: which makes it an interesting article. Plus two thousands ten 649 00:40:09,880 --> 00:40:12,560 Speaker 1: wasn't it all depends on the year right, some is 650 00:40:12,600 --> 00:40:15,080 Speaker 1: in a great time. Like people weren't loving the government 651 00:40:15,320 --> 00:40:19,799 Speaker 1: in Some people directly cited that they didn't want to 652 00:40:19,800 --> 00:40:23,960 Speaker 1: help Obama out, so they weren't going to do the census. Um. 653 00:40:24,360 --> 00:40:27,880 Speaker 1: One like people were attacked by dogs. One person was 654 00:40:27,920 --> 00:40:31,279 Speaker 1: attacked with a baseball bat. Another census taker had a 655 00:40:31,280 --> 00:40:35,360 Speaker 1: patio table thrown at her by an irate woman. Um, 656 00:40:35,400 --> 00:40:39,440 Speaker 1: there was just a lot of incidents like that. It 657 00:40:39,480 --> 00:40:43,080 Speaker 1: was mostly anti government, right, Yes, people feeling out, you know, 658 00:40:43,320 --> 00:40:45,560 Speaker 1: get out of my face with the government stuff. Right, 659 00:40:45,680 --> 00:40:49,839 Speaker 1: And and some some people didn't make any threats, but yeah, 660 00:40:49,840 --> 00:40:53,680 Speaker 1: they were really in sense that the government was asking 661 00:40:53,719 --> 00:40:57,320 Speaker 1: anything about them like that. And um, these census workers 662 00:40:57,320 --> 00:41:00,439 Speaker 1: were like this is crazy, Like people are really mad 663 00:41:00,480 --> 00:41:03,080 Speaker 1: out there. They came back with like news of the 664 00:41:03,160 --> 00:41:07,080 Speaker 1: real temperament of a lot of Americans, and it was angry. 665 00:41:07,640 --> 00:41:09,480 Speaker 1: Some of them quit. They're like, I'm not doing this 666 00:41:09,520 --> 00:41:12,240 Speaker 1: anymore than I'm risking my life for what the census. 667 00:41:12,280 --> 00:41:16,000 Speaker 1: Who cares. Um, it's an interesting article. It gives you 668 00:41:16,040 --> 00:41:18,920 Speaker 1: like a different perspective of it than that, Yeah, we're 669 00:41:18,920 --> 00:41:22,000 Speaker 1: gonna allocate money to government services. Well, I'm sure by 670 00:41:22,680 --> 00:41:25,760 Speaker 1: everyone in the United States will love the government. Sure, sure, 671 00:41:26,760 --> 00:41:29,360 Speaker 1: regardless of who wins the two thousand and sixteen election. 672 00:41:29,480 --> 00:41:32,920 Speaker 1: That's right. Yeah, you got anything else? Nothing? Sweet? Well, 673 00:41:32,960 --> 00:41:36,919 Speaker 1: if you wanted more about sense s I, you can 674 00:41:36,960 --> 00:41:39,359 Speaker 1: type sens us into the search bar at how stuff 675 00:41:39,360 --> 00:41:43,479 Speaker 1: works dot com. And since I said sentience sent since 676 00:41:43,520 --> 00:41:48,840 Speaker 1: I said sens us, it's time for a listener mail. Alright, 677 00:41:48,840 --> 00:41:53,080 Speaker 1: I'm gonna call this. Uh we helped with anxiety. Good. 678 00:41:53,320 --> 00:41:54,920 Speaker 1: Hey guys want to write and say how much you 679 00:41:54,960 --> 00:41:57,080 Speaker 1: have impacted my life. My name is Jared. I'm a 680 00:41:57,120 --> 00:42:03,040 Speaker 1: graphic designer in Birmingham, Alabama, and grew up in Cannes, Saw, Georgia. Wow, 681 00:42:04,440 --> 00:42:07,400 Speaker 1: his family had to own a gun by law. Remember 682 00:42:07,440 --> 00:42:10,359 Speaker 1: that that's still in the books there. I wonder if 683 00:42:10,440 --> 00:42:13,040 Speaker 1: Jared was at our show in Birmingham that ended up being, 684 00:42:13,560 --> 00:42:16,600 Speaker 1: despite the smallest show, we did one of my most 685 00:42:16,880 --> 00:42:21,880 Speaker 1: pleasured noble shows. Well put pleasured. That was great. That 686 00:42:21,920 --> 00:42:26,520 Speaker 1: little theater was awesome. It was the workplace theater cabaret style. 687 00:42:26,560 --> 00:42:29,239 Speaker 1: They were great, intimate and cool. I felt like people 688 00:42:29,280 --> 00:42:32,560 Speaker 1: are sitting on the stage with us virtually they practically were. 689 00:42:33,239 --> 00:42:36,280 Speaker 1: Uh So, anyway, he's in Birmingham, have a horrible panic 690 00:42:36,320 --> 00:42:39,600 Speaker 1: attacks guys in a panic disorder. There's just something about 691 00:42:39,600 --> 00:42:41,719 Speaker 1: both of you, though, your demeanors and the tone of 692 00:42:41,719 --> 00:42:44,560 Speaker 1: your voices that really calms me down in the car 693 00:42:44,680 --> 00:42:47,000 Speaker 1: or at work, which is where most of my panic 694 00:42:47,000 --> 00:42:50,680 Speaker 1: attacks take place. I know, I feelful. I don't know 695 00:42:50,680 --> 00:42:53,520 Speaker 1: if any other anxiety suffers also experienced your show in 696 00:42:53,560 --> 00:42:55,759 Speaker 1: this way. A lot of time, when I feel my 697 00:42:55,800 --> 00:42:58,880 Speaker 1: anxiety rising, I pop in the headphones or plug you 698 00:42:58,920 --> 00:43:02,520 Speaker 1: into my car stereo and calm myself down with some stuff. 699 00:43:02,520 --> 00:43:06,359 Speaker 1: You should know. Uh, your show is greatly impacted my life, uh, 700 00:43:06,680 --> 00:43:08,880 Speaker 1: in its relationship to anxiety. I love you guys, love 701 00:43:08,920 --> 00:43:11,439 Speaker 1: the show. I always want to keep getting the word 702 00:43:11,440 --> 00:43:14,600 Speaker 1: out about anxiety and taking away the stigma of mental illness. 703 00:43:15,239 --> 00:43:17,640 Speaker 1: You guys do a great job, that is Jared A 704 00:43:17,680 --> 00:43:21,560 Speaker 1: humble fan. Jared wrote back today, so he was very 705 00:43:22,000 --> 00:43:24,000 Speaker 1: happy that we were reading this. I'm good and I'm 706 00:43:24,040 --> 00:43:26,359 Speaker 1: glad that we can calm you down a little bit. 707 00:43:26,400 --> 00:43:29,200 Speaker 1: But for Jared, yeah, I hate to hear about your troubles, 708 00:43:29,200 --> 00:43:32,239 Speaker 1: and there always going to be here for you every 709 00:43:32,239 --> 00:43:37,680 Speaker 1: Tuesday and Thursday. Don't worry, UM if you have a 710 00:43:37,719 --> 00:43:40,200 Speaker 1: story like Jared's, if we've helped you in some way, 711 00:43:40,200 --> 00:43:43,040 Speaker 1: shape or form. We love hearing stuff like that. You 712 00:43:43,080 --> 00:43:45,520 Speaker 1: can tweet it to us at s y SK podcast 713 00:43:45,640 --> 00:43:49,360 Speaker 1: or to me josh Um Clark Uh. You can post 714 00:43:49,400 --> 00:43:52,480 Speaker 1: it on Facebook Charles W. Chuck Bryant, or Facebook dot 715 00:43:52,520 --> 00:43:54,680 Speaker 1: com slash stuff you Should Know. You can put it 716 00:43:54,719 --> 00:43:57,919 Speaker 1: in an email stuff podcast that how stuff works dot 717 00:43:57,920 --> 00:43:59,840 Speaker 1: com and has always joined us at home on the 718 00:43:59,840 --> 00:44:07,359 Speaker 1: way up. Stuff you Should Know dot com For more 719 00:44:07,400 --> 00:44:09,680 Speaker 1: on this and thousands of other topics. Is it how 720 00:44:09,719 --> 00:44:17,920 Speaker 1: stuff Works dot com